Exploring the parametric design space to manage computational weld mechanics analyses using design of experiment

Mahyar Asadi and John A. Goldak

International Journal of Product Development, 2013, vol. 18, issue 1, 31-47

Abstract: Development of a computational weld mechanics (CWM) framework that automates multiple set-ups and evaluations is required to practically explore a design space by given design of experiment (DOE) matrices. Saving an expert-user's time to prepare several analyses and allocating CPUs to be utilised efficiently make this framework cost effective and time effective to manage designer-driven optimisation and control application of CWM. A validation analysis is conducted in this framework to identify the CWM control vector that minimises the difference between the computed and experimental data. Actual CWM problems with continuous and/or discontinuous parametric design spaces are solved in this framework to minimise weld distortion using derivative-free optimisation algorithms and DOE matrices that become attractive in this framework.

Keywords: CWM; computational welding mechanics; design space exploration; DOE; design of experiments; parametric design; optimisation; weld distortion; multiple analyses. (search for similar items in EconPapers)
Date: 2013
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